I am trying to interpret the output of GLM and I am not sure how it is
treating the factor GENDER with levels G-M and G-F.
Below is the output of summary(GPA.lm)
Call:
glm(formula = zGPA ~ Units.Bfr.7A * GENDER, data = Master1)
Deviance Residuals:
Min 1Q Median 3Q Max
-1.1432 -0.3285 -0.1061 0.2283 1.8286
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2.513e-01 2.238e-02 -11.230 < 2e-16 ***
Units.Bfr.7A 2.297e-05 2.851e-04 0.081 0.936
GENDERG-M 3.183e-01 4.536e-02 7.018 2.56e-12 ***
Units.Bfr.7A:GENDERG-M -3.073e-03 5.975e-04 -5.142 2.82e-07 ***
---
Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1
(Dispersion parameter for gaussian family taken to be 0.2432662)
Null deviance: 1204.2 on 4875 degrees of freedom
Residual deviance: 1185.2 on 4872 degrees of freedom
(106 observations deleted due to missingness)
AIC: 6950.8
Number of Fisher Scoring iterations: 2
second I would like to draw two lines w/ confidince intervals on the
scatter plot. One for G-M and the other for G-F
I think I am doing this with
stat_smooth(aes(group=GENDER), method="glm", fullrange=TRUE)
but again am not sure quite what is being outputted.
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